The goal of this Machine Learning School is to introduce basic as well as more advanced Machine Learning concepts and techniques that will help you boost your productivity significantly. All lectures will take place at Nyenrode Business Universiteit from 8:30 AM to 5:00 PM CEST during July 8 - 11, 2019.
The four-day event will provide a jam-packed curriculum for different professional profiles.
A C-level course on Machine Learning, ideal for business leaders and senior executives in all industries. Attendees will be able to understand how Machine Learning can be adopted in any organization, focusing on the strategy to follow as well as the key points that managers should know when making decisions. Additionally, we will see several real-world success stories presented by companies that are currently applying Machine Learning techniques.
The main conference will be a two-day crash course designed for business innovators, industry practitioners, as well as students, seeking a quick, practical, and hands-on introduction to Machine Learning to solve real-world problems. The content presented during these two days will serve as a good introduction to the kind of work that students can expect if they enroll in advanced Machine Learning and AI Masters.
A day long experiential learning with the Machine Learning masters to put theoretical concepts into practice in a hands-on manner. This course is tailored for experienced business analysts, data scientists, and Machine Learning practitioners that wish to work on real-world data and real cases; a unique opportunity to work with leading Machine Learning experts. Attendees will be able to bring their own data.
We recommend you to stay at Nyenrode Hotel, since it is on the venue, but space is limited: First Come First Served.Rate range: 84€ - 94€ (VAT included) + 13,30€ for breakfast. To book your room, please contact the hotel via email at firstname.lastname@example.org and make sure you mention you are coming to the Machine Learning Summer School in The Netherlands. The hotel will appreciate if you mention your address and preferred dates for your stay.